18 citations · 18 across the 5 of their papers we have counts for
6 papers
Affective Feedback Synthesis Towards Multimodal Text and Image Data
Puneet Kumar, Gaurav Bhat, Omkar Ingle +2
In this paper, we have defined a novel task of affective feedback synthesis that deals with generating feedback for input text & corresponding image in a similar way as humans resp…
Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision
Gaurav Bhatt, Shivam Chandhok, Vineeth N Balasubramanian
A common problem with most zero and few-shot learning approaches is they suffer from bias towards seen classes resulting in sub-optimal performance. Existing efforts aim to utilize…
Acoustic Features Fusion using Attentive Multi-channel Deep Architecture
Gaurav Bhatt, Akshita Gupta, Aditya Arora +1
In this paper, we present a novel deep fusion architecture for audio classification tasks. The multi-channel model presented is formed using deep convolution layers where different…
Attentive Recurrent Tensor Model for Community Question Answering
Gaurav Bhatt, Shivam Sharma, Balasubramanian Raman
A major challenge to the problem of community question answering is the lexical and semantic gap between the sentence representations. Some solutions to minimize this gap includes…
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification
Gaurav Bhatt, Aman Sharma, Shivam Sharma +3
Identifying the veracity of a news article is an interesting problem while automating this process can be a challenging task. Detection of a news article as fake is still an open q…
Common Representation Learning Using Step-based Correlation Multi-Modal CNN
Gaurav Bhatt, Piyush Jha, Balasubramanian Raman
Deep learning techniques have been successfully used in learning a common representation for multi-view data, wherein the different modalities are projected onto a common subspace.…